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Building tools for machine learning and artificial intelligence in cancer research: best practices and a case study with the PathML toolkit for computational pathology

2021-10-24

Abstract excerpt

Imaging datasets in cancer research are growing exponentially in both quantity and information density. These massive datasets may enable derivation of insights for cancer research and clinical care, but only if researchers are equipped with the tools to leverage advanced computational analysis approaches such as machine learning and artificial intelligence. In this work, we highlight three themes to guide develop...

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Literature Corpus work
1bf88f24-f550-5fef-8177-ee169bbc6d38
DOI
10.1101/2021.10.21.465212
Open publication

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Building tools for machine learning and artificial intelligence in cancer research: best practices and a case study with the PathML toolkit for computational pathologyDOI 10.1101/2021.10.21.465212
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